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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Simple sabotage for software

Erik Bernhardsson

You can of course make a series of obviously bad decisions, but you'd get fired quickly. Technology When joining, require a 6-18 months rewrite of core systems. Split systems along arbitrary boundaries: maximize the number of systems involved in any feature. Encourage communal ownership of systems.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.

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Mending the rift between business stakeholders and development teams

Xebia

In today’s business world, the synergy between stakeholders, product management and development teams are paramount. Customer’s problem At one of our major clients at Xebia customers complained, that the project velocity was inconsistent, while the development team seemed perpetually busy.

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Agile, Stand-ups, TDD and Code Reviews

The Programmer's Paradox

It all has to be very reactive; you keep fiddling with the code until it gets traction. Under those conditions, it doesn’t make sense to cross all the t’s and dot the i’s as the life expectancy of the code is weeks or months. A big problem in development, particularly when a lot of people are introverts, is communication.

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Generative AI: the Shortcut to Digital Modernisation

CIO

Generative AI can help businesses achieve faster development in two main areas: low/no-code application development and mainframe modernisation. Developers can create and modify applications independently, reducing the burden on IT teams to focus on more strategic and complex tasks.